BIM-enabled Modular and Industrialized Construction in China
Bibliographic record
Abstract
The Chinese construction market is huge in terms of its size but facing many issues not matching its high speed development, such as low field productivity, unreliable quality, high resource and energy consumption, often safety accidents, and significant environment pollution. Those issues are mainly associated with the old fashion of construction method. The concept of industrialization of construction has been recognized since the establishment of the People’s Republic of China, but did not get well developed until recently the industry is under the pressure of increasing labour cost and the demand of sustainable development. There was a surge of Building Information Modeling (BIM) application in last few years in China and the industry has seen lots of benefits of virtual design and construction. Integrating BIM technology into industrialization of construction is seen as a promising opportunity to improve the performance of modular and industrialized construction. This paper first reviews the history of industrialization of the Chinese construction industry and then discusses the recent BIM adoption in China. The approaches of using BIM to enable modular design and industrialized construction and installation in China are the main focus of this paper.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".